• Journal of Korea Society of Industrial Information Systems
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• v.9 no.1
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• pp.17-23
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• 2004

This paper proposes to determine word senses in Korean language processing by corpus-based ontology learning. Our approach is a hybrid method. First, we apply the previously-secured dictionary information to select the correct senses of some ambiguous words with high precision, and then use the ontology to disambiguate the remaining ambiguous words. The mutual information between concepts in the ontology was calculated before using the ontology as knowledge for disambiguating word senses. If mutual information is regarded as a weight between ontology concepts, the ontology can be treated as a graph with weighted edges, and then we locate the least weighted path from one concept to the other concept. In our practical machine translation system, our word sense disambiguation method achieved a 9％ improvement over methods which do not use ontology for Korean translation.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.474-482
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• 2023

Data mining is a technique for extracting valuable information from vast amounts of data by analyzing statistical and mathematical operations, rules, and relationships. In this study, we employed data mining technology to analyze the data concerning the painting poetry of Maehwado (plum blossom paintings) from the early Joseon Dynasty. The data was extracted from the Hanguk Munjip Chonggan (Korean Literary Collections in Classical Chinese) in the Hanguk Gojeon Jonghap database (Korea Classics DB). Using computer information processing techniques, we carried out web scraping and classification of the painting poetry from the Hanguk Munjip Chonggan. Subsequently, we narrowed down our focus to the painting poetry specifically related to Maehwado in the early Joseon Dynasty. Based on this, refined dataset, we conducted an in-depth analysis and interpretation of the text data at the syllable corpus level. As a result, we found a direct correlation between the corpus statistics for each syllable in Maehwado painting poetry and the symbolic meaning of plum blossoms.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.161-176
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• 2013

The outcomes of entrepreneurship studies have been tried to help the entrepreneurs in start-up stages, but the outcomes of the entrepreneurship research are not fully utilized to guide the activities of the entrepreneurs in start-up businesses. To utilize the outcomes of entrepreneurship research for helping entrepreneurs effectively, an entrepreneurship ontology, a systemized specification of the knowledge in the entrepreneurship research, has to be established, Based on the entrepreneurship ontology, the knowledge of entrepreneurial processes can be illustrated, and a diagnosis and coaching system for the entrepreneurs can be built effectively. To establish an entrepreneurship ontology, this study investigates the intellectual structure of entrepreneurship studies by analyzing the contents of top journals in entrepreneurship field, and identifies the relationship among the key concepts through bibliometric analyses based on entrepreneurship corpus, This study suggests a method of establishing entrepreneurship ontology and utilization of the ontology. Through utilization of the entrepreneurship ontology, it is expected to explain the entrepreneurial processes effectively and to improve the rate of business success.

• The Journal of the Korea Contents Association
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• v.4 no.4
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• pp.133-139
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• 2004

This paper proposes a Korean sentence boundary detection system which employs k-nearest neighbor algorithm. We proposed three scoring functions to classify sentence boundary and performed comparative analysis. We uses domain independent linguistic features in order to make a general and robust system. The proposed system was trained and evaluated on the two kinds of corpus; ETRI corpus and KAIST corpus. As experimental results, the proposed system shows about $98.82\%$ precision and $99.09\%$ recall rate even though it was trained on relatively small corpus.

• Phonetics and Speech Sciences
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• v.10 no.2
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• pp.25-31
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• 2018

This paper investigated the phonological processes of monophthongs and diphthongs in the pronounced words present in the Buckeye Corpus and compared the frequency distribution of these processes by sex and age groups to provide a clearer understanding of spoken English to linguists and phoneticians. Both orthographic and pronounced words were extracted from the transcribed label scripts of the Buckeye Corpus using R. Next, the phonological processes of monophthongs and diphthongs in the orthographic and pronounced labels were tabulated using R scripts, and a frequency distribution by vowel process types, as well as sex and age groups, was created. The results revealed that 95% of the orthographic words contained the same number of syllables, whereas 5% had different numbers of vowels, thereby proving that speakers tend to preserve vowels in spontaneous speech. In addition, deletion processes were preferred in natural speech. Most vowel deletions occurred with an unstressed syllable. Chi-square tests were performed to calculate dependence in the distribution of phonological process types for male and female groups and young and old groups. The results showed a very strong correlation. This finding indicates that vowel processes occurred in approximately the same pattern in natural and spontaneous speech data regardless of sex and age, as well as whether or not the vowel processes were identical. Based on these results, the author concludes that an analysis of phonological processes in spontaneous speech corpora can greatly enhance practical understanding of spoken English.

• Phonetics and Speech Sciences
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• v.12 no.2
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• pp.1-7
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• 2020

This paper investigates the phonological processes of consonants in pronounced words in the Seoul Corpus, and compares the frequency distribution of these processes to provide a clearer understanding of conversational Korean to linguists and teachers. To this end, both orthographic and pronounced words were extracted from the transcribed label scripts of the Seoul Corpus. Next, the phonological processes of consonants in the orthographic and pronounced forms were tabulated separately after syllabifying the onsets and codas, and major consonantal processes were examined. First, the results showed that the majority of the orthographic consonants' sounds were pronounced the same way as their pronounced forms. Second, more than three quarters of the onsets were pronounced as the same forms, while approximately half of the codas were pronounced as variants. Third, the majority of different onset and coda symbols were primarily caused by deletions and insertions. Finally, the five phonological process types accounted for only 12.4% of the total possible procedures. Based on these results, this paper concludes that an analysis of phonological processes in spontaneous speech corpora can improve the practical understanding of spoken Korean. Future studies ought to compare the current phonological process data with those of other languages to establish universal patterns in phonological processes.

• Journal of English Language & Literature
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• v.56 no.5
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• pp.871-905
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• 2010

This paper is motivated by Watanabe's (2001) observation that English byphrase passives are sometimes translated into Japanese object topicalization constructions. That is, the original English sentence in the passive may be translated into the active voice with the logical object topicalized. A number of scholars, including Chomsky (1981) and Baker (1992), have remarked that languages have various ways to avoid focusing on the logical subject. The aim of the present study is to examine the translation equivalents of the English by-phrase passives in an English-Korean parallel corpus compiled by the author. A small sample of articles from Newsweek magazine and its published Korean translation reveals that there are indeed many ways to translate English by-phrase passives, including object topicalization (12.5%). Among the 64 translated sentences analyzed and classified, 12 (18.8%) examples were problematic in terms of agent defocusing, which is the primary function of passives. Of these 12 instances, five cases were identified where an alternative translation would be more suitable. The results suggest that the functional characteristics of English by-phrase passives should be highlighted in translator training as well as language teaching.

• Phonetics and Speech Sciences
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• v.16 no.1
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• pp.1-9
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• 2024

This study investigated the variation in the intonation of Seoul Korean interjection ani across different meanings ("no" and "really?") and speech levels (Intimate and Polite) using data from Korean Intonation Corpus (KICo). The investigation was conducted in two stages. First, IP-final tones in the dataset were categorized according to the K-ToBI convention (Jun, 2000). While significant relationships were observed between the meaning of ani and its IP-final tones, substantial overlap between groups was notable. Second, the F0 characteristics of the final syllable of ani were analyzed to elucidate the apparent many-to-many relationships between intonation and meaning/speech level. Results indicated that these seemingly overlapping relationships could be significantly distinguished. Overall, this study advocates for a deeper analysis of phonetic intonation beyond ToBI-based categorical labels. By examining the F0 characteristics of the IP-final syllable, previously unclear connections between meaning/speech level and intonation become more comprehensible. Although ToBI remains a valuable tool and framework for studying intonation, it is imperative to explore beyond these categories to grasp the "distinctiveness" of intonation, thereby enriching our understanding of prosody.

• Proceedings of the Korean Society for Language and Information Conference
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• 1995.02a
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• pp.237-242
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• 1995

• KIPS Transactions on Software and Data Engineering
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• v.1 no.1
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• pp.69-74
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• 2012

Many internet users attempt to focus on the issues which have posted on social network services in a very short time. When some social big issue or event occurred, it will affect the number of comments and retweet on that day in twitter. In this paper, we propose the method of extracting core events based on timeline analysis, sentiment feature and retweet information in twitter data. To validate our method, we have compared the methods using only the frequency of words, word frequency with sentiment analysis, using only chi-square method and using sentiment analysis with chi-square method. For justification of the proposed approach, we have evaluated accuracy of correct answers in top 10 results. The proposed method achieved 94.9% performance. The experimental results show that the proposed method is effective for extracting core events in twitter corpus.